ROOT RNTuple implementation in Julia programming language

RNTuple is the upcoming primary data storage solution at the Large Hadron Collider (LHC) experiments and other high-energy physics (HEP) experiments going forward. Aside from many technical upgrades from the TTree object, RNTuple also is the first time .root file committed to specification.[1] In this paper we present the latest development in UnROOT.jl that enables both the reading and writing of complex table-like data structures in Julia with RN-Tuple. At the moment this is the most complete 3rd party libraries that can read and write RNTuple data outside of C++ ROOT.

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Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-10-07
DOI
https://doi.org/10.1051/epjconf/202533701154/pdf
Primary Topic
Distributed and Parallel Computing Systems
Type
article
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article

ROOT RNTuple implementation in Julia programming language

T. Gal, Jerry Ling
Springer Link (Chiba Institute of Technology)
Distributed and Parallel Computing Systems
article

ROOT RNTuple implementation in Julia programming language

T. Gal, Jerry Ling
article en

Abstract

RNTuple is the upcoming primary data storage solution at the Large Hadron Collider (LHC) experiments and other high-energy physics (HEP) experiments going forward. Aside from many technical upgrades from the TTree object, RNTuple also is the first time .root file committed to specification.[1] In this paper we present the latest development in UnROOT.jl that enables both the reading and writing of complex table-like data structures in Julia with RN-Tuple. At the moment this is the most complete 3rd party libraries that can read and write RNTuple data outside of C++ ROOT.

Springer Link (Chiba Institute of Technology)
Quality Education
Openalex Percentile: Top 27%
Distributed and Parallel Computing Systems
DOISourceOpenAlex
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ROOT RNTuple implementation in Julia programming language — T. Gal, Jerry Ling · Springer Link (Chiba Institute of Technology) (2025) | TGRS Research Map | TGRS